TY - GEN
T1 - A Hybrid Spherical Search and Moth-flame optimization Algorithm
AU - Tao, Sichen
AU - Wang, Kaiyu
AU - Zhang, Zhiming
AU - Lee, Chiyan
AU - Todo, Yuki
AU - Gao, Shangce
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Spherical search (SS) was recently proposed for solving the bound-constrained non-linear global optimization problems, and it shows quite competitive performance results with respect to other peer algorithms. However, it still suffers from the slow convergence speed and can't jump out the local minima once it is trapped. In this paper, we innovatively propose a hybrid spherical search and moth-flame optimization algorithm, namely SSMFO, aiming to make a better balance between exploration and exploitation. It is realized by enabling both algorithms to perform the search in a co-evolutionary manner. Experimental results based on 30 benchmark functions of IEEE CEC2017 demonstrate that the proposed algorithm outperforms other state-of-the-art algorithms in terms of solution quality and convergence speed.
AB - Spherical search (SS) was recently proposed for solving the bound-constrained non-linear global optimization problems, and it shows quite competitive performance results with respect to other peer algorithms. However, it still suffers from the slow convergence speed and can't jump out the local minima once it is trapped. In this paper, we innovatively propose a hybrid spherical search and moth-flame optimization algorithm, namely SSMFO, aiming to make a better balance between exploration and exploitation. It is realized by enabling both algorithms to perform the search in a co-evolutionary manner. Experimental results based on 30 benchmark functions of IEEE CEC2017 demonstrate that the proposed algorithm outperforms other state-of-the-art algorithms in terms of solution quality and convergence speed.
KW - Computational intelligence
KW - moth-flame optimization
KW - optimization
KW - spherical search
UR - http://www.scopus.com/inward/record.url?scp=85093855602&partnerID=8YFLogxK
U2 - 10.1109/IHMSC49165.2020.00054
DO - 10.1109/IHMSC49165.2020.00054
M3 - 会議への寄与
AN - SCOPUS:85093855602
T3 - Proceedings - 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2020
SP - 211
EP - 217
BT - Proceedings - 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2020
Y2 - 22 August 2020 through 23 August 2020
ER -